this is the only pie chart you will see all semester.

As your instructor, I recognize that this pandemic has far reaching effects that are felt unevenly for different people based on their personal circumstances including (but not limited to):

• exposure to systemic injustice
• financial situation
• housing situation
• childcare responsibilities
• mental and physical health status
• health status of family members

My goal is to be as flexible as I can be with each student so that everyone can meet the learning objectives for the course despite the difficulties we face.

• Gain the statistical knowledge to critically evaluate the use of statistics in the literature of bioanthro and related fields.
• Get hands-on experience implementing analyses with real world data
• Learn practical tools for doing “data-science”

Data science is an industry buzzword and cliche

From wikipedia:

"Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data.

• In private industry, you extract insight from data to make business decisions.
• It is also a big part of what scientists do!
• Processes and systems for getting insight from data are important!

• We will spend a lot of time on the “how”
• You will become very familiar with the nuts-and-bolts of analyzing data
• Most of your grade comes from practical exercises
• I dont expect you to be a statistician (I sure as hell am not). But I do expect you to learn how to extract insights from data

When you leave this course, I hope you are empowered to:

• collect your data in a format that makes your future life easier
• explore patterns in your data visually and statistically
• test meaningful hypotheses using appropriate statistical tools
• communicate these results effectively using graphs and prose

• MS Excel
• Commercial Statistics Packages (e.g., SPSS)
• R – open source and free package for statistical analysis

• MS Excel
• Commercial Statistics Packages (e.g., SPSS)
• R – open source and free package for statistical analysis

• Ignorance - Because I don’t know how to use anything else
• Comprehensiveness – Learn this one tool well, and you can do (almost) ANYTHING
• Reproducibility – an R script is a detailed record of exactly what I did, from the raw data file, through data transformation, to analysis and results.
• Popularity - R is insanely popular in academia and in industry (“why hello there, marketable skills!”)

R is an open-source language and environment for statistical computing and graphics.

open-source means that anyone can look at the code to see how it works.

One of the top 10 most widely used programming languages in the world in 2018.

A rapidly growing system of user contributed packages.

https://stats.are-awesome.com

Let’s check out the website then do the Introduction To R

Note: First homework assignment is due on September 9th.